Denise Guliato,

Universidade Federal de Uberlândia


Similarity searching based on 3D shape descriptors is an important process in content-based 3D shape retrieval tasks. The development of efficient 3D shape descriptor is still a challenge. We propose a novel approach to characterize 3D shapes based on the Hilbert space-filling curve. Our proposal is invariant under translation and it is little sensitive under scale and rotation. Experiments were carried out with the Princeton Shape Benchmark. The evaluation of the results indicated higher precision rates when compared to the related works.


Date: 2011-Feb-08     Time: 11:00:00     Room: 020

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